CITS4012

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# 1. IDEs and Git

## 1.1 Installing Visual Studio Code

* [Visual Studio Code Download](https://code.visualstudio.com/download)
* 64 bit System Installer (`VSCodeSetup-x64-1.57.1.exe` - 78KB)
* Default Installation Path (`C:\Program Files\Microsoft VS Code`)
* Installation Time (~5 mins)

### Installing Extensions for Visual Studio Code
* [Python Extension for VSCode Instruction](https://code.visualstudio.com/docs/python/python-tutorial#_install-visual-studio-code-and-the-python-extension)
* Remote - SSH Extension
* Remote X11 (SSH) Extension

## 1.2 Install git
* [Latest Version of Git for Windows](https://git-scm.com/download/win)
* Don't forget to add git to the system PATH

# 2. Conda and Unit Specific Packages

## 2.1 Installing Anaconda
* [Anaconda Installation Instructions](https://docs.anaconda.com/anaconda/install/windows/)
* Individual Version (`Anaconda3-2021.05-Windows-x86_64.exe` - 488KB)
* Installation Size (2.9 GB)
* Installed for all users at `C:\ProgramData\Anaconda3`
* Installation Time (~30 mins)
* Launch Anaconda Navigator

You can start a CMD or POWERSHELL console using the navigator, or following the steps 1 and 2 in the screenshot below to start a CMD or POWERSHELL. If you are intalling packages, you can right click the arrow to bring up a pop-up menu, `run as adminstrator` (Step 3a) or `pin on taskbar` (Step 3b) for future convenience.

## 2.2 Install from an environment YAML file
If we install from this YAML file, then we can ignore all the following steps in Section 2.3.

`conda create -p c:\envs\cits4012 --file cits4012.yml`

If this is successful, you can ignore the rest of the steps below.

## 2.3 Install packages step by step from scratch

### Create Anaconda Environment
Need admin access to write to C drive (Run Conda Powershell as Administrator - right click on the icon)
1. `conda create -p c:\envs\cits4012 python=3.8`
2. `conda activate c:\envs\cits4012`

### Use the virtual environment in VSCode
* [Instructions on how to use environment in VSCode](https://code.visualstudio.com/docs/python/environments#_conda-environments) 
* Test to see if the CITS4012_base environment is available from VSCode

### 2.3.1 Install Spacy
1. Go back to Conda CMD.exe, check to see if you have `pip` installed using 
* `conda list`
* `pip install -U spacy`
* `python -m spacy download en_core_web_sm`
 
2. Find the Spacy version (we want v3+):

```
# Windows CMD
C:\> conda list | findstr "spacy"`

# Windows PowerShell
C:\> conda list | Select-String "spacy"

# Linux
$ conda list | grep "spacy"
```
### 2.3.2 Install PyTorch

#### Check for Cuda compatible Graphics Card on Windows
1. Click Start.
2. On the Start menu, click Run.
3. In the Open box, type "dxdiag" (without the quotation marks), and then click OK.
4. The DirectX Diagnostic Tool opens. ...
5. On the Display tab, information about your graphics card is shown in the Device section.

My laptop has NVIDIA GeForce MX130.

#### Install Pytorch 
[Pytorch Website](https://pytorch.org)

* with GPU

`conda install pytorch torchvision torchaudio torchtext cudatoolkit=11.1 -c pytorch -c conda-forge`

* CPU only

`conda install pytorch torchvision torchaudio torchtext cpuonly -c pytorch -c conda-forge`

#### Install Tensorboard
`conda install -c conda-forge tensorboard`

#### Install GraphViz on Windows
[2.47.3 EXE installer for Windows 10 (64-bit)](https://gitlab.com/api/v4/projects/4207231/packages/generic/graphviz-releases/2.47.3/stable_windows_10_cmake_Release_x64_graphviz-install-2.47.3-win64.exe)

Download the exe file and install, make sure it is added to the system PATH (Windows - Edit the Windows Environment Variables.

#### Install torchviz
`pip install torchviz`

### 2.3.3 Install NLTK
`pip install nltk`

and then download the data and models

`python -m nltk.downloader -d c:\envs\cits4012\nltk_data all`

#### Install truecase 
install this after NLTK installation pls.

`pip install truecase`

### 2.3.4 Install Jupyterlab
`conda install -c conda-forge jupyterlab`

### 2.3.5 Install Scikit-learn
`pip install -U scikit-learn`

Verify if it works:

`python -c "import sklearn; sklearn.show_versions()"`

### 2.3.6 Finally Export Environment into an YAML file
`conda env export -p c:\envs\cits4012 --no-builds -f cits4012.yml`

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